Automatic Inspection System of Small Plastic Gears Based on Machine Vision

Abstract:

Small plastic gear is generally made by injection molding.But the injection molding process and mold have problems with missing tooth, shrink, more material, less material and inaccurate roundness and so on. Furthermore, using manual inspection will appear phenomenon of low efficiency, false detection and leak detection. To solve these problems, this paper introduces an automatic inspection system of small plastic gears based on machine vision. The system consists of feeding and sorting machine control system and machine vision inspection system of the gear defects. Mechanical control use digital servo control technology to achieve automatic nesting, feeding, positioning of gear workpiece, and depend on the inspection result of machine vision system to sort. After acquired gear image through a camera, Machine vision system uses median filtering, binarization, edge detection algorithms to process image. Then the system adopts template matching algorithm to obtain the inspection result and send the result to the sorting controller, which achieve automatic smart inspection of gear. The automatic inspection system has accurate, efficient, intelligent and other advantages.

• Periodical: Key Engineering Materials (Volume 522)
• Pages: 628-633
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.522.628
• Online since: August 2012
• Authors: Jian Zhe Chen, Gui Tang Wang, Jian Qiang Chen, Xin Liang Yin
• Keywords: Algorithm (GA), Automatic Inspection, Digital Servo Control, Machine Vision, Small Plastic Gear

References

[1] Y.K. Hou: PLC Technology and Application[M] (Mechanical Industry Press, China 2010).

[2] H.Z. Hu, X.M. Zhang, R.L. Liu and J.Q. Han: Machine Vision Technology and Application (Higher Education Press, China 2009).

[3] H.K. Xie: Gear Measuring Technology in Recent Years (Machine Workers Press, China 2004).

[4] S.X. Chen: LabVIEW Bible (Electronic Industry Press, China 2011).

[5] Peter A. Blume: LabVIEW Programming Style (Electronics Industry Press, China 2009).

[6] Z.S. Lei, Z.N. Liu: Gear Measurement Technology of Applying IMAQ Vision (Manufacturing technology and Machine Tools, China 2005).

[7] National Instruments. NI Vision Assistant Tutorial. National Instruments, (2009).